3 papers
cs.DS2022
Scalable -d trees for distributed data
Aritra Chakravorty, William S. Cleveland, Patrick J. Wolfe
Data structures known as -d trees have numerous applications in scientific computing, particularly in areas of modern statistics and data science such as range search in decisio…
stat.ME2021
Distributed estimation through parallel approximants
Aritra Chakravorty, William S. Cleveland, Patrick J. Wolfe
Designing scalable estimation algorithms is a core challenge in modern statistics. Here we introduce a framework to address this challenge based on parallel approximants, which yie…
stat.ME2013
Estimating Copula and Test of Independence based on a generalized framework of all rank-based Statistics in Bivariate Sample
Abhik Ghosh, Aritra Chakravorty
Copulas are mathematical objects that fully capture the dependence structure among random variables and hence, offer a great flexibility in building multivariate stochastic models.…